Visualizing similarity data with a mixture of maps. Export

@inproceedings{hinton07, abstract = {We show how to visualize a set of pairwise similarities between objects by using several different two-dimensional maps, each of which captures different aspects of the similarity structure. When the objects are ambiguous words, for example, different senses of a word occur in different maps, so ” river” and ” loan” can both be close to ” bank” without being at all close to each other. Aspect maps resemble clustering because they model pair-wise similarities as a mixture of different types of similarity, but they also resemble local multi-dimensional scaling because they model each type of similarity by a two-dimensional map. We demonstrate our method on a toy example, a database of human word-association data, a large set of images of handwritten digits, and a set of feature vectors that represent words.}, author = {Cook, James A. and Sutskever, Ilya and Mnih, Andriy and Hinton, Geoffrey E.}, booktitle = {AI and Statistics}, citeulike-article-id = {4988497}, keywords = {dimensionality-reduction, sne}, location = {Puerto Rico, USA}, month = {March}, posted-at = {2009-06-27 13:31:23}, priority = {2}, title = {Visualizing similarity data with a mixture of maps.}, year = {2007} }

TY - CONF ID - hinton07 L3 - citeulike-article-id:4988497 N2 - We show how to visualize a set of pairwise similarities between objects by using several different two-dimensional maps, each of which captures different aspects of the similarity structure. When the objects are ambiguous words, for example, different senses of a word occur in different maps, so “river” and “loan” can both be close to “bank” without being at all close to each other. Aspect maps resemble clustering because they model pair-wise similarities as a mixture of different types of similarity, but they also resemble local multi-dimensional scaling because they model each type of similarity by a two-dimensional map. We demonstrate our method on a toy example, a database of human word-association data, a large set of images of handwritten digits, and a set of feature vectors that represent words. CY - Puerto Rico, USA TI - Visualizing similarity data with a mixture of maps. T2 - AI and Statistics KW - dimensionality-reduction KW - sne AU - Cook, James AU - Sutskever, Ilya AU - Mnih, Andriy AU - Hinton, Geoffrey PY - 2007/03// ER -